Kenton Lee
My research focuses on natural language understanding and machine learning. Prior to joining Google, I completed my PhD at the University of Washington while working with Luke Zettlemoyer.
Research Areas
Authored Publications
Sort By
Google
PaLI-X: On Scaling up a Multilingual Vision and Language Model
Josip Djolonga
Piotr Padlewski
Basil Mustafa
Carlos Riquelme
Sebastian Goodman
Yi Tay
Siamak Shakeri
Daniel Salz
Michael Tschannen
Hexiang (Frank) Hu
Mandar Joshi
Matthias Minderer
Filip Pavetić
Gang Li
Lucas Beyer
Anurag Arnab
Yuanzhong Xu
Keran Rong
Alexander Kolesnikov
Xiaohua Zhai
Neil Houlsby
Computer Vision and Pattern Recognition Conference (CVPR) (2024)
DePlot: One-shot visual language understanding by plot-to-text translation
Chenxi Pang
Mandar Joshi
Nigel Collier
Under review (2022)
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
Chenxi Pang
Mandar Joshi
Nigel Collier
Under review (2022)
Retrieval Augmented Language Model Pre-Training
Zora Tung
Panupong Pasupat
Ming-Wei Chang
Proceedings of the 37th International Conference on Machine Learning (2020) (to appear)
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Christopher Clark
Ming-Wei Chang
NAACL 2019
